AI transformation
AI transformation that delivers measurable results
AI transformation is about changing how the work is done, not about buying yet another tool. We find the use cases with the greatest effect in your business, build AI into your systems and make sure it is done securely.
What is AI transformation?
AI transformation is the work of bringing artificial intelligence into a company's processes, systems and decisions so that the business becomes faster, cheaper or better for the customer. It differs from giving employees a chatbot. A transformation changes the workflow itself, for example a quote being drafted by AI and reviewed by a person instead of being written from scratch.
Where does AI help a small or medium sized business?
- Drafts of quotes, agreements and reports based on your own templates and earlier cases.
- Sorting and answering incoming email and support requests.
- Search in internal documents, so the answer is found in seconds instead of asking a colleague.
- Reading invoices, receipts and forms that are typed in by hand today.
- Summaries of meetings, calls and long documents.
- Translation of copy and product information.
How an AI transformation works
- Mapping. We go through your processes and rank the use cases by time saved, risk and how hard they are to introduce.
- Pilot. We choose a limited case, build a working solution and measure the effect with real cases.
- Implementation. What works is built into your existing systems, so that employees do not need to switch windows.
- Training. Employees learn what AI can do, what it cannot do and how the result should be reviewed.
- Follow up. We measure time, quality and cost and decide the next case based on the numbers.
Data security and compliance
The most common concern is where the data goes. We choose services where your data is not used to train models, limit which information the AI can reach and log how it is used. Personal data is handled according to GDPR. We also go through which requirements the EU AI Act places on your particular use cases, since the requirements differ between an email assistant and a system that affects decisions about people.
AI as the core, not as an add on
The companies that get the greatest effect build the workflow around AI from the start instead of placing it on top of an old way of working. That requires someone who understands both the process and the technology. We use AI in our own delivery, for example to produce quote drafts and translations in our admin system, and therefore know what holds up in everyday use.
Start small and measure
You do not need a large programme to get started. A limited pilot with a clear measure shows within a few weeks whether AI gives the effect you hope for. After that it is easier to decide on the next step.
